Supplementary Materials

Supplementary Material for:

EGFR as a potential therapeutic target for a subset of muscle-invasive bladder cancers presenting a basal-like phenotype

Sandra Rebouissou, Isabelle Bernard-Pierrot, Aurélien de Reyniès, May-Linda Lepage, Clémentine Krucker, Elodie Chapeaublanc, Aurélie Hérault, Aurélie Kamoun, Aurélie Caillault, Eric Letouzé, Nabila Elarouci, Yann Neuzillet, Yves Denoux, Vincent Molinié, Dimitri Vordos, Agnès Laplanche, Pascale Maillé, Pascale Soyeux, Karina Ofualuka, Fabien Reyal, Anne Biton, Mathilde Sibony, Xavier Paoletti, Jennifer Southgate, Simone Benhamou, Thierry Lebret, Yves Allory, François Radvanyi*

*Corresponding author. E-mail: francois.radvanyi@curie.fr

Published 9 July 2014, Sci. Transl. Med. 6, 244ra91 (2014)
DOI: 10.1126/scitranslmed.3008970

This PDF file includes:

  • Materials and Methods
  • Fig. S1. Principal components analysis of the transcriptome identifies two distinct groups of MIBC.
  • Fig. S2. Consensus clustering analysis of publicly available transcriptome MIBC series shows a basal-like cluster in each.
  • Fig. S3. Erlotinib and cetuximab inhibit EGFR signaling in basal-like bladder cancer cell lines.
  • Fig. S4. Mouse BBN-induced bladder tumors display a basal-like phenotype.
  • Legends for tables S1 to S11
  • References (3640)

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Other Supplementary Material for this manuscript includes the following:

  • Table S1 (Microsoft Excel format). Gene expression signature of the MIBC basallike cluster and related pathways.
  • Table S2 (Microsoft Excel format). Genetic alterations for each case of MIBC included in the CIT data set.
  • Table S3 (Microsoft Excel format). Clinical data and basal-like molecular subtype in all data sets.
  • Table S4 (Microsoft Excel format). Interseries unsupervised analysis: metacluster identification.
  • Table S5 (Microsoft Excel format). Univariate and multivariate overall survival analyses on cystectomized MIBC patients combining all seven data sets.
  • Table S6 (Microsoft Excel format). List of published prognostic markers for bladder tumors.
  • Table S7 (Microsoft Excel format). Pathways deregulated in the basal-like subtype in seven different transcriptomic data sets for MIBC.
  • Table S8 (Microsoft Excel format). Genes from the 40-gene nearest-centroid basal-like bladder cancer predictor.
  • Table S9 (Microsoft Excel format). Molecular subtype classification and genetic alterations in 22 human bladder cancer cell lines.
  • Table S10 (Microsoft Excel format). Predicted subtype and histological features of BBN-induced mouse bladder tumors.
  • Table S11 (Microsoft Excel format). Immunohistochemical quantification of CK5/6 and FOXA1 in MIBC.

[Download Tables S1 to S11]